Clinical significance of PET/CT uptake for peripheral clinical N0 non ‐small cell lung cancer
Preoperative SUVmax of primary lesions is a predictor of pathological nodal metastases in peripheral cN0 NSCLC with tumor size ≤2 cm. Primary tumor SUVmax is associated with key clinicopathological features and prognosis of patients with peripheral cN0 NSCLC with tumor size ≤2 cm. AbstractObjectiveIn this cohort study, we determined the clinical value of the maximum standardized uptake value (SUVmax) of primary tumors in non ‐small cell lung cancer (NSCLC).Study DesignA retrospective review of NSCLC patients was performed from January 2011 to December 2017. Peripheral cN0 NSCLC patients with tumor size ≤2 cm were included. SUVmax was calculated as a continuous variable for semiquantitative analyses. A receiver operating characteristic curve was analyzed to assess the cutoff threshold of SUVmax on pathological (p) nodal metastasis. We further evaluated the clinical relevance of SUVmax in perip heral cN0 NSCLC patients.ResultsA total of 670 peripheral NSCLC patients with tumor size ≤2 cm were deemed cN0 by preoperative PET/CT scan. Statistical analyses suggested significant correlations of SUVmax with smoking status (P = .026), tumor volume (P = .001), pathology type (P = .008), tumor differentiation (P
Researchers determined that artificial intelligence could help predict responses to systemic therapies for patients with non-small cell lung cancer by utilizing CT scans.
ConclusionPET/CT-based signature can be used prior to initiation of immunotherapy to identify NSCLC patients most likely to benefit from immunotherapy. As such, these data may be leveraged to improve more precise and individualized decision support in the treatment of patients with advanced NSCLC.
AbstractBackgroundMetabolic information obtained through18F-flurodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) is used to evaluate malignancy by calculating the glucose uptake rate, and these parameters play important roles in determining the prognosis of non-small cell lung cancer (NSCLC). The expression of immune-related markers in tumor tissue reflects the immune status in the tumor microenvironment. However, there is lack of reports on the association between metabolic variables and intra-tumor immune markers. Herein, we investigate the correlation between metabolic status on18F-FDG PET...
(American Association for Cancer Research) Using standard-of-care computed tomography (CT) scans in patients with advanced non-small cell lung cancer (NSCLC), researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies.
Blacks and Hispanics are less likely to undergo guideline-recommended PET and CT scans at diagnosis of non-small-cell lung cancer (NSCLC), according to a database study.Reuters Health Information
CONCLUSION: The prediction model that incorporates the radiomics signature and clinical risk factors has potential to facilitate the individualized prediction of PD-L1 expression in NSCLC patients and identify patients who can benefit from anti-PD-L1 immunotherapy. PMID: 32176676 [PubMed - as supplied by publisher]
ConclusionsOur results suggest that segmentectomy achieved similar recurrence-free and overall survival compared with lobectomy for patients with clinical N0 invasive lung adenocarcinomas of no more than 2 cm. Therefore, segmentectomy could be an alternative approach. These results need to be further validated by randomized trials.
Abstract Background and Purpose: To investigate the correlation between normal lung CT density changes with dose accuracy and outcome after stereotactic body radiation therapy (SBRT) for patients with early stage non-small-cell lung cancer (NSCLC). Materials and Methods: Thirty-one patients (with a total of 33 lesions) with non-small cell lung cancer were selected out of 270 patients treated with SBRT at a single institution between 2003 and 2009. Out of these 31 patients, 10 patients had developed radiation pneumonitis (RP). Dose distributions originally planned using a 1-D pencil beam-based dose algorithm w...
AbstractThe aim of this study was to apply density correction method to the quantitative image analysis of non-small cell lung cancer (NSCLC) computed tomography (CT) images, determining its influence on overall survival (OS) prediction of surgically treated patients. Clinicopathological (CP) data and preoperative CT scans, pre- and post-contrast medium (CM) administration, of 57 surgically treated NSCLC patients, were retrospectively collected. After CT volumetric density measurement of primary gross tumour volume (GTV), aorta and tracheal air, density correction was conducted on GTV (reference values: aortic blood and tr...
ConclusionWB-MRI and DWI are radiation-free alternatives with comparable diagnostic performance to 18F-FDG PET/CT for M staging of NSCLC.Key Points• Whole-body MRI with or without diffusion-weighted imaging has a high accuracy for the diagnostic evaluation of metastases in patients with non–small cell lung cancer.• Whole-body MRI may be used as a non-invasive and radiation-free alternative to positron emission tomography with CT with similar diagnostic performance.